Nanjing, China

Qian Chen

This inventor holds 17 USPTO granted patents and 3 published patent applications. Top assignees: Nanjing University of Science and Technology, Perceptive Engineering Limited. Active years: 2006-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qian Chen. Retrieved from https://idiyas.com/inventor/qian-chen-3k611n0r

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 17 

% Patents Active = 82.4

Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2006-2026

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17 patents (USPTO):Explore Patents

Title: The Innovative Mind of Qian Chen: Pioneering 3D Technology

Introduction

Qian Chen, an esteemed inventor hailing from Nanjing, China, has made significant contributions to the field of 3D technology, amassing a remarkable portfolio of 13 patents. His innovative approaches in high-precision dynamic real-time 360-degree omnidirectional point cloud acquisition and deep learning techniques stand out in the realm of fringe projection profilometry.

Latest Patents

Among his latest inventions are two notable patents. The first is the "High-precision dynamic real-time 360-degree omnidirectional point cloud acquisition method based on fringe projection." This groundbreaking method utilizes fringe projection technology combined with a stereoscopic phase unwrapping technique to acquire real-time, high-precision 3D data of objects. By employing a two-thread parallel mechanism and utilizing SLAM and ICP technologies, this invention opens new avenues in 360-degree surface defect detection and rapid reverse molding.

The second patent, "Deep learning-based temporal phase unwrapping method for fringe projection profilometry," focuses on enhancing the accuracy of phase unwrapping. This method incorporates a multi-frequency temporal phase unwrapping algorithm and leverages deep learning through a residual convolutional neural network. By utilizing both low and high-frequency wrapped phase maps, he successfully reduces phase errors, achieving a high-accuracy absolute phase map.

Career Highlights

Qian Chen's career spans significant roles at prominent institutions, including Nanjing University of Science and Technology and Perceptive Engineering Limited. His work continues to influence advancements in 3D technology and machine learning.

Collaborations

During his journey, Qian has collaborated with accomplished individuals in his field, such as Chao Zuo and Shijie Feng. Their joint efforts have undoubtedly enhanced the quality and impact of their innovations.

Conclusion

As an inventor, Qian Chen exemplifies innovation and creativity, pushing the boundaries of 3D data acquisition and processing. With a strong background in advanced methodologies and successful collaborations, he remains a pivotal figure in the advancement of technology that shapes the future of various industries.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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